Social networks have become spaces for interaction and public debate where ideological narratives show shared symbolic frameworks that operate as anchors of meaning when interventionism in Mexico is mentioned. For this reason, a socio-semiotic analysis was carried out, based on the proposal of Hannah Arendt, who mentions that interventionism is a disguised way of providing aid, collaboration or humanitarian support, which forces the recipient country to accept external policies and limits the free debate of the local population. 22 short videos from social networks (Facebook and TikTok) were analyzed, in response to messages of U.S. interventionism in Mexico given the presence of drug cartels; the scope, comments and statements that were systematized in Atlas Ti were reviewed, based on the analysis of feelings and semantic networks. This is qualitative research, with a descriptive cut and techniques of virtual ethnography. It was found that social networks are a sociocultural element among young people who debate, based on digitalization, build territories, imaginaries and recreate symbolic elements with the processes of communication and interaction typical of political action that stimulates exchanges while they are a trend and another topic for debate appears.
This article aims to analyze the contemporary reconfiguration of power stemming from the convergence of discourse, technology, and social control, within the context of the global expansion of major technology companies (Big Tech). Drawing upon the theoretical contributions of Michel Foucault regarding disciplinary power and panopticism, Juan Carlos Monedero regarding the governance of words and discursive hegemony, and Daron Acemoglu regarding the structural power of technology, the study posits that global society is undergoing a transition toward a new digital panoptic order. Employing a qualitative methodology based on Critical Discourse Analysis, the article examines the role of mass media, artificial intelligence, digital platforms, and social networks in the production of subjectivities, algorithmic surveillance, and the regulation of citizen behavior. The research findings lead to the conclusion that technological concentration—in the absence of democratic oversight—constitutes a structural threat to citizen autonomy, social equity, and democracy, thereby necessitating new forms of digital governance and technological sovereignty.
This study analyzes the effect of Foreign Direct Investment (FDI) associated with nearshoring and inflows from the United States on multidimensional poverty in Mexico during the period 2010-2024. The quantitative econometric approach is based on a state-level micro-panel dataset, allowing for the exploitation of both cross-sectional and temporal variation. A pooled ordinary least squares (OLS) model with fixed effects is estimated to control for unobservable regional heterogeneity and time-specific shocks that may bias the results. The findings indicate that labor income and state-level GDP growth are the most robust and consistent determinants of poverty reduction, highlighting the central role of domestic economic dynamics and structural conditions. However, there is no robust empirical evidence that FDI linked to nearshoring directly reduces poverty in the short term. On the contrary, U.S. FDI inflows may be associated with increases in poverty levels in certain regions, suggesting heterogeneous and potentially adverse distributional effects. The study concludes that the benefits of production relocation are not automatic and depend critically on regional capacity to absorb and integrate capital inflows into the local economic structure, as well as on the ability to strengthen labor markets through the creation of formal, well-paying jobs.
The relevance of the research resides in the need for conceptual renewal of transport management strategies under conditions of institutional fragmentation, digital transformation, and increasing demands for cognitive leadership. The purpose of the study is to formalize the conceptual foundations of innovative transport management through the TMSI model, integrating cognitive adaptability, institutional synergy, and digital governance. The methodology includes a SWOT analysis of 13 transport management strategies, TMSI-based verification of innovative strategies, UML decomposition of a typical strategy, UML synthesis of an optimized strategy, and final TMSI validation. The approach ensures replicability through structured multi-stage modeling and normalized index-based evaluation. The findings demonstrate that strategic effectiveness is determined by cognitive-analytical and institutional-integrative architectonics. The SWOT analysis identified four systemic dysfunctions: technological dependence, institutional fragmentation, adaptive instability, and lack of stakeholder synergy. The TMSI model revealed that only strategies based on AI-driven governance and resilience design achieve high performance (TMSI = 0.91). The optimized model further improved system coherence, reaching TMSI = 0.93 and demonstrating superior functional interoperability and reduced transactional variance.The scientific novelty lies in the development of the TMSI model as a quantitative tool for verifying transport management strategies and in substantiating the integrated interaction of AI-driven governance, resilience design, and stakeholder orchestration. Future research should focus on pilot implementation and real-world validation of the proposed cognitive-adaptive architecture in complex transport systems.
